Rest Apis Jobs

SAP BTP Integration & Build Apps Specialist

SACHA Engineering•

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced SAP BTP Integration & Build Apps Specialist to join our team in a hybrid work mode. This role will be pivotal in designing, building, and maintaining integrations and applications on the SAP Business Technology Platform (BTP) , ensuring alignment with business requirements and adherence to security and compliance standards. Key Responsibilities The SAP BTP Integration & Build Apps Specialist will be responsible for a range of tasks including, but not limited to, the design, development, and implementation of SAP BTP -based solutions. This includes building and maintaining CI/CD pipelines , ensuring application stability , and creating comprehensive technical documentation and operational runbooks . The role also involves collaborating with cross-functional teams to ensure seamless integration with existing S/4HANA systems and adherence to audit and compliance requirements. Required Skills & Qualifications SAP BTP : Demonstrated proficiency in utilizing SAP Business Technology Platform for application development and integration. Cloud Foundry : Strong understanding and practical experience with the Cloud Foundry platform. Destination & Connectivity Services : Expertise in configuring and managing Destination & Connectivity Services for secure and reliable data exchange. XSUAA : Proficiency in utilizing XSUAA for authentication and authorization within SAP BTP environments. Cloud Identity Services (IAS/IPS) : Experience with Cloud Identity Services (IAS/IPS) for managing user identities and access. Cloud Connector : Ability to configure and manage the Cloud Connector for hybrid scenarios. CI/CD pipelines : Experience in designing and implementing CI/CD pipelines for automated build, testing, and deployment. Git : Proficient in using Git for version control and collaborative development. SAP Build Apps : Experience in developing applications using SAP Build Apps , including Logic flows & data modeling and UI/UX configuration . Role-based access configuration : Ability to configure role-based access controls to ensure data security and compliance. Mobile/web deployment : Experience in deploying applications to mobile and web environments. OData services : Understanding of OData services for data integration and exchange. REST APIs : Experience working with REST APIs for application integration. CDS exposure (consumption) : Ability to consume CDS (Core Data Services) for data access. ABAP : Familiarity with ABAP programming for custom development and integration. SAP Integration Suite : Experience with SAP Integration Suite for integration scenarios. OAuth2, SAML : Knowledge of OAuth2 and SAML for secure authentication and authorization. Certificates : Ability to manage and configure Certificates for secure communication. Event Mesh : Understanding of Event Mesh for event-driven integration. Build Apps development standards : Adherence to Build Apps development standards for code quality and maintainability. Application stability : Focus on ensuring application stability and performance. Technical documentation : Ability to create clear and concise technical documentation . Operational runbooks : Experience in developing operational runbooks for incident response and troubleshooting. Audit, Compliance, Security standards : Understanding of audit , compliance , and security standards . Clean-core extensibility concepts : Knowledge of Clean-core extensibility concepts . CAP (Cloud Application Programming Model) : Experience with CAP (Cloud Application Programming Model) . S/4HANA business processes : Understanding of S/4HANA business processes , including FI , MM , and SD . SLA : Ability to meet SLA requirements. Experience Required: The ideal candidate will possess 8-15 years of relevant experience in SAP development and integration, demonstrating a strong track record of delivering high-quality solutions. What We Offer Salary: 30 LPA

Software Engineer (3) - Core Engineer 3

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking a highly skilled and motivated Software Engineer (3) - Core Engineer 3 to join our growing team in Chennai. This role will be based onsite and offers a challenging opportunity to contribute to cutting-edge technology projects within the Technology industry. Key Responsibilities The Core Engineer 3 will be responsible for the design, development, and maintenance of robust and scalable software solutions. This role requires a deep understanding of software engineering principles and a commitment to delivering high-quality code. Required Skills & Qualifications Educational Background: A B.E., B.Tech., M.C.A., or equivalent technical degree is required. Experience: A minimum of 5-6 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and debug complex software systems, as well as mentor junior engineers. Programming Languages: Proficiency in Java , Node.js , and TypeScript is essential. Frameworks & Libraries: Strong experience with Spring Boot , React , and a solid understanding of REST APIs and GraphQL . Databases: Demonstrated ability to work with PostgreSQL . Cloud Technologies: Experience with GCP is required. Version Control: Familiarity with GitHub for version control and collaborative development. Microservices Architecture: A strong understanding of Microservices architecture and its implementation. API Integration: Experience with SOAP . Testing & Quality Assurance: Proficient in TDD (Test-Driven Development) and experienced with testing frameworks such as JUnit and Selenium . Security Practices: Knowledge of DevSecOps principles and experience with security tools like SonarQube and Checkmarx . AI & Machine Learning: Familiarity with AI concepts and experience with tools like Claude . Prompt Engineering & RAG: Understanding of Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques. Web Technologies: Solid understanding of HTML5 , CSS3 , and JavaScript . UI/UX: Experience with Responsive UI Design . CI/CD: Experience with CI/CD pipelines and automation. Additional Tools: Familiarity with 42Crunch . Other: Understanding of Dynatrace . What We Offer Salary:

Software Engineer – Backend

Be limitless•

Bengaluru

•full time

Job Summary We are seeking two Software Engineer – Backend professionals to join our growing team in Bengaluru. This is a full-time position within the IT / Technology industry. The ideal candidate will possess a strong foundation in backend development principles and a passion for building scalable and robust systems. Key Responsibilities While specific responsibilities will evolve with project needs, the Software Engineer – Backend will be expected to contribute to the full software development lifecycle, from design and implementation to testing and deployment. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications To be successful in this role, candidates must demonstrate proficiency in the following areas: Python : Demonstrated ability to write clean, efficient, and well-documented Python code. Django : Experience building web applications using the Django framework, including understanding of its core concepts and best practices. Django REST Framework : Ability to design and implement REST APIs using Django REST Framework , ensuring adherence to industry standards. PostgreSQL : Strong understanding of relational database principles and experience working with PostgreSQL , including schema design, query optimization, and data integrity. REST APIs : Comprehensive knowledge of REST APIs , including design principles, implementation techniques, and best practices for building scalable and maintainable APIs. Git : Proficiency in using Git for version control, including branching, merging, and resolving conflicts. Docker : Experience containerizing applications using Docker , including creating Docker files and managing Docker images. Kubernetes : Familiarity with Kubernetes for container orchestration, including deploying and managing applications in a Kubernetes cluster. AI/ML APIs : Understanding of AI/ML APIs and experience integrating them into backend systems. Software Development Principles : Solid understanding of fundamental Software Development Principles , including object-oriented programming, design patterns, and code maintainability. Analytical Skills : Ability to analyze complex problems, identify root causes, and develop effective solutions. Problem-Solving Skills : Demonstrated ability to troubleshoot and resolve technical issues efficiently and effectively. Communication Skills : Excellent written and verbal communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences. Qualifications : A Bachelor's degree in Computer Science, Information Technology, Electronics, or a related field is required. Experience Required : 1 - 3 years of experience in backend software development. This level of experience indicates a candidate who is capable of working independently and contributing meaningfully to a team, while still having opportunities for growth and learning. What We Offer Salary : 6 LPA - 10 LPA

Integration Functional Analyst

SACHA Engineering•

Pune

•full time

Job Summary We are seeking a skilled and experienced Integration Functional Analyst to join our dynamic team. This role will be instrumental in ensuring the seamless integration of various systems and data flows within our IT environment. The ideal candidate will possess a strong analytical mindset, excellent communication skills, and a proven ability to troubleshoot complex integration issues. This is a hybrid role requiring a balance of remote and in-office work. Key Responsibilities The Integration Functional Analyst will be responsible for analyzing, designing, and implementing integration solutions. This includes mapping data sources, identifying and resolving integration issues, and collaborating with cross-functional teams to ensure successful project delivery. Required Skills & Qualifications APIs : Demonstrated proficiency in working with Application Programming Interfaces (APIs) to facilitate data exchange between systems. REST : Solid understanding of Representational State Transfer (REST) architectural style for building and consuming APIs. SOAP : Experience with Simple Object Access Protocol (SOAP) for web services integration. JSON : Ability to work with JavaScript Object Notation (JSON) data format for data exchange. XML : Familiarity with Extensible Markup Language (XML) for data representation and integration. ESB : Knowledge of Enterprise Service Bus (ESB) concepts and experience with ESB platforms. Middleware : Understanding of middleware technologies and their role in integration processes. SQL : Strong proficiency in Structured Query Language (SQL) for data retrieval and manipulation. MuleSoft : Experience with MuleSoft Anypoint Platform for integration development and deployment. SAP CPI : Familiarity with SAP CPI (Cloud Platform Integration) for cloud-based integration scenarios. Dell Boomi : Experience with Dell Boomi for integration platform as a service (iPaaS) solutions. Process Mapping : Ability to create and maintain process maps to visually represent integration workflows. Source-to-target data mapping : Skill in defining and implementing accurate source-to-target data mappings for seamless data integration. Root-cause troubleshooting : Proven ability to identify and resolve the root cause of complex integration issues. Agile : Experience working within an Agile development framework. Scrum : Familiarity with Scrum methodologies for iterative development and project management. Jira : Proficiency in using Jira for issue tracking and project management. Azure DevOps : Experience with Azure DevOps for continuous integration and continuous delivery (CI/CD). Interpersonal Skills : Excellent interpersonal skills to effectively collaborate with stakeholders and team members. Analytical Skills : Strong analytical skills to analyze complex data and integration scenarios. Problem-Solving Skills : Demonstrated problem-solving skills to identify and resolve integration challenges. Communication Skills : Exceptional written and verbal communication skills to clearly convey technical information. Any Degree : A Bachelor's degree or equivalent is required. Experience Required: 8 - 15 years of relevant experience. This level of experience indicates a senior-level role requiring a high degree of autonomy and expertise in integration technologies. The candidate should be able to lead integration projects and mentor junior team members. What We Offer Salary: 30 LPA

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking three highly skilled and motivated Software Engineers to join our core engineering team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The ideal candidate will be a proactive problem-solver with a strong commitment to delivering high-quality, scalable, and maintainable code. Required Skills & Qualifications Core Programming Languages: Demonstrated proficiency in Java and Node.js is essential. The candidate should be comfortable writing clean, efficient, and well-documented code. Frameworks and Technologies: Experience with Spring Boot is required. Familiarity with React is also desirable. Cloud Computing: Experience with GCP is required. API Development: Strong understanding of SOAP/REST APIs and experience designing and implementing them. Testing Methodologies: A solid foundation in various testing methodologies including Unit Testing , Integration Testing , Regression Testing , UAT , and Load Testing . Experience with TDD is a plus. Testing Tools: Proficiency in using testing tools such as JUnit and Selenium . Code Quality and Security: Experience with code quality and security tools like 42Crunch , SonarQube , and Checkmarx . Understanding of DevSecOps principles. Observability and Monitoring: Experience with Monitoring , Alerting , and Observability tools, specifically Dynatrace . Version Control: Proficiency in using GitHub for version control and collaboration. Data Management: Experience with PostgreSQL and GraphQL . Artificial Intelligence: Familiarity with AI concepts, including Prompt Engineering , Retrieval-Augmented Generation , Token Optimization , and Scoped Referencing . CI/CD: Experience with CI/CD pipelines. Education: A B.E. , B.Tech. , M.C.A. , or equivalent technical degree is required. Experience: 5 years of experience is required. The candidate should be a seasoned professional capable of working independently and mentoring junior team members. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge AI and ML initiatives within a dynamic Technology environment. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI and ML models and systems. This includes collaborating with cross-functional teams to define project requirements, designing and implementing solutions, and ensuring the quality and reliability of deployed models. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms, techniques, and their practical applications. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) for developing and deploying AI and ML solutions. This includes experience with GCP services such as Vertex AI, BigQuery, and Cloud Storage. GenAI : Experience with Generative AI models and techniques, including understanding of large language models and their applications. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into existing systems. MLOps : Knowledge of MLOps practices and tools for automating and streamlining the machine learning lifecycle, from model development to deployment and monitoring. RESTful APIs : Ability to design and implement RESTful APIs for integrating AI and ML models with other systems and applications. Microservices : Experience with microservices architecture and its application in building scalable and resilient AI and ML systems. Data Pipelines : Ability to design and implement robust and efficient data pipelines for ingesting, transforming, and preparing data for AI and ML models. Model Monitoring : Experience with model monitoring techniques and tools for tracking model performance and identifying potential issues. Model Governance : Understanding of model governance principles and best practices for ensuring the ethical and responsible use of AI and ML models. Serverless : Familiarity with serverless computing concepts and technologies for building scalable and cost-effective AI and ML applications. Containerized : Experience with containerized deployments using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate with product management teams to define requirements and translate them into technical solutions. Reasoning : Strong analytical and reasoning skills for problem-solving and decision-making in complex situations. Tool-use : Ability to effectively utilize various AI and ML tools and technologies. APIs : Understanding of APIs and their role in integrating AI and ML models with other systems. Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI and ML . What We Offer We offer a competitive compensation package.

Back-end Software Development Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Back-end Software Development Engineer to join our growing team. This role is ideal for a highly motivated individual with a strong foundation in back-end development and a passion for leveraging cutting-edge technologies to build scalable and robust solutions. Key Responsibilities The responsibilities of this role will encompass the design, development, and maintenance of our back-end systems. You will be responsible for ensuring the reliability, performance, and security of our applications. Required Skills & Qualifications Full Stack Java Developer : Demonstrated proficiency in Java development, encompassing both front-end and back-end aspects of application development. GCP : Experience with Google Cloud Platform (GCP) services, including deployment, scaling, and management of applications within the GCP environment. Cursor AI : Familiarity with Cursor AI and its application in software development workflows. Open Code AI : Understanding of Open Code AI principles and their implementation in code generation and analysis. Gen AI : Knowledge of Generative AI concepts and their application in software development. Big Query : Expertise in utilizing BigQuery for data warehousing, querying, and analysis. Jira : Proficiency in using Jira for project management, issue tracking, and agile development workflows. Java : Strong understanding of Java programming language and its core principles. Spring Boot : Experience with Spring Boot framework for building stand-alone and production-ready Spring-based applications. Spring MVC : Knowledge of Spring MVC for developing web applications. API Design : Ability to design and implement robust and scalable APIs. REST : Experience with REST ful API design and implementation. GraphQL : Familiarity with GraphQL for efficient data fetching and manipulation. GKE : Experience with Google Kubernetes Engine ( GKE ) for container orchestration. Cloud Run : Understanding of Cloud Run for deploying and managing containerized applications. Pub/Sub : Knowledge of Pub/Sub for asynchronous messaging and event-driven architectures. IAM : Experience with Identity and Access Management ( IAM ) principles and implementation. PostgreSQL : Strong understanding of PostgreSQL database management system. Cloud SQL : Experience with Cloud SQL for managing relational databases in the cloud. Query Tuning : Ability to optimize database queries for performance and efficiency. Replication : Understanding of database replication techniques for high availability and disaster recovery. Indexing : Knowledge of database indexing strategies for improved query performance. BigData : Experience with BigData technologies and processing large datasets. Dataflow : Familiarity with Dataflow for stream and batch data processing. Spark : Experience with Spark for distributed data processing and analytics. Vertex AI : Understanding of Vertex AI for machine learning model deployment and management. LLM APIs : Knowledge of Large Language Model ( LLM ) APIs and their integration into applications. CI/CD : Experience with Continuous Integration and Continuous Delivery ( CI/CD ) pipelines. Docker : Proficiency in using Docker for containerization and application packaging. Kubernetes : Strong understanding of Kubernetes for container orchestration and management. Problem-Solving Skills : Demonstrated ability to analyze complex problems and develop effective solutions. Communication Skills : Excellent written and verbal communication skills for collaborating with team members and stakeholders. Qualifications : A Bachelor's Degree is required. Experience Required : 6 years of experience is preferred. The ideal candidate will possess a proven track record of success in back-end development and a strong understanding of software engineering best practices. What We Offer Salary :

Power Platform Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Power Platform Software Engineer to join our IT / Technology team. This role will focus on leveraging the capabilities of the Power Platform to build and maintain robust, efficient, and scalable solutions. The ideal candidate will possess a strong foundation in software development principles and a passion for utilizing innovative technologies to solve complex business challenges. Key Responsibilities The Power Platform Software Engineer will be responsible for the full lifecycle of application development, from initial design and development to testing, deployment, and ongoing support. This includes collaborating with stakeholders to gather requirements, translating those requirements into functional solutions, and ensuring the quality and performance of the developed applications. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 6 years of experience in software development is expected. This level of experience indicates a proficiency in designing, developing, and implementing complex software solutions. Programming Languages: Demonstrated proficiency in Python is essential. Data Visualization & Business Intelligence: Expertise in Power BI for creating insightful reports and dashboards. Data Warehousing & Analytics: Experience with BigQuery for data analysis and querying. Artificial Intelligence: Familiarity with AI concepts and their application in business solutions. Power Platform Development: Strong skills in Power Apps for building custom applications, Power Automate for workflow automation, and Copilot Studio for creating intelligent chatbots. Microsoft Technologies: Proficiency in Microsoft Sharepoint for collaboration and document management, Microsoft Copilot for enhanced productivity, and AI Builder for incorporating AI capabilities into applications. Data Management: Experience with Microsoft Dataverse for data storage and management. API Integration: Ability to work with Microsoft Graph API and REST APIs for integrating with external systems. Cloud Computing: Solid understanding of Azure Services and GCP for cloud-based application deployment and management. Integration Technologies: Experience with Logic Apps and Azure Functions for building integrations and automating tasks. Data Management & Integration: Ability to perform Data Integration and Migration of data. Software Development Best Practices: Strong understanding of Reporting , Analytics , Testing , Quality Assurance , and UAT methodologies. Collaboration & Communication: Excellent Collaboration and Support skills for working effectively with cross-functional teams. Application Lifecycle Management: Experience in App Development , Modernization , and Optimization of existing applications. Workflow Automation: Ability to design and implement Workflow Automation solutions. What We Offer

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team. This role will focus on leveraging cutting-edge AI/ML techniques to solve complex business challenges within the IT / Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI/ML models and systems. This includes contributing to the full lifecycle of AI projects, from initial conception and design to implementation, testing, and ongoing monitoring. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for data analysis, prediction, and automation. GCP : Proficiency in utilizing Google Cloud Platform (GCP) for developing and deploying AI/ML solutions. This includes familiarity with GCP Services and their integration within a cloud-based environment. GenAI : Experience with Generative AI models and their applications. AI Agents : Knowledge of AI Agents and their implementation. RESTful APIs : Ability to design and integrate with RESTful APIs for seamless data exchange and system interoperability. Microservices : Understanding of Microservices architecture and its application in building scalable and resilient AI systems. MLOps : Experience with MLOps practices to streamline the machine learning lifecycle, including automation, continuous integration, and continuous delivery. Serverless : Familiarity with Serverless computing concepts and their application in building efficient and cost-effective AI solutions. Containerized : Experience with Containerized environments, such as Docker and Kubernetes , for deploying and managing AI applications. Agile : Proven ability to work within an Agile development framework, collaborating effectively with cross-functional teams. Product Management : Understanding of Product Management principles and their application in defining and delivering successful AI -powered products. Reasoning : Ability to apply logical Reasoning to solve complex problems and make informed decisions. Tool-use : Proficiency in utilizing various AI and ML tools and frameworks. APIs : Experience with APIs and their integration. Data Pipelines : Ability to design and implement robust Data Pipelines for efficient data processing and transformation. Model Training : Expertise in Model Training techniques and best practices. Model Deployment : Experience with Model Deployment strategies and tools. Model Versioning : Ability to implement Model Versioning to track and manage different versions of AI models. Model Monitoring : Proficiency in Model Monitoring techniques to ensure the ongoing performance and accuracy of AI models. Model Governance : Understanding of Model Governance principles and their application in ensuring responsible and ethical use of AI . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI/ML is expected. This level of experience indicates a solid foundation in AI principles and a proven ability to contribute effectively to real-world projects. What We Offer Salary:

Software Engineer (3) - Core Senior Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our core team. This is a senior-level role requiring a deep understanding of software development principles and a proven ability to design, develop, and deploy scalable and reliable applications. The ideal candidate will possess a strong background in cloud technologies and a passion for building innovative solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from design and implementation to testing and deployment. The candidate will collaborate with cross-functional teams to deliver high-quality software solutions that meet business requirements. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 10 years of experience in software engineering is required. This level of experience indicates a seasoned professional capable of leading technical initiatives and mentoring junior engineers. Programming Languages: Proficiency in Java is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Cloud Computing: Extensive experience with GCP (Google Cloud Platform), including Cloud Run for containerized application deployment. Containerization & Orchestration: Strong understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes , GKE , and OpenShift . Experience with Helm for managing Kubernetes deployments is also required. CI/CD & DevOps: Solid experience with CI/CD pipelines, including tools like Tekton , Argo CD , and GitHub Actions . Familiarity with GitOps principles is a plus. Frontend Development: Experience with Angular for building modern user interfaces. API Development: Proven ability to design and implement REST APIs and Microservices architectures. Integration Patterns: Knowledge of Enterprise Integration Patterns for building loosely coupled and scalable systems. Data Management: Experience with relational databases such as AlloyDB and Cloud SQL for PostgreSQL . Cloud Security: Strong understanding of cloud security principles, including IAM , Service Accounts , Workload Identity Federation , Secret Manager , External Secrets , and Least-Privilege Access Controls . Container Security: Experience with Artifact Registry , Container Security , Binary Authorization , and Vulnerability Scanning . Deployment & Monitoring: Proficiency in Secure Deployment Practices , Cloud Logging , Cloud Monitoring , Prometheus , and Dynatrace/Grafana . Operational Skills: Ability to perform Root-Cause Analysis and implement effective Alerting systems. Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Analytical Skills: Strong Analytical Skills for problem-solving and decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical challenges. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts clearly. Networking: Understanding of Application Ingress/Egress , Load Balancing , API Routing , Shared VPC , Private Service Connect , Firewall Rules , and DNS . Connectivity: Experience with Private Connectivity and Cross-Project Communication .